Signal Recovery on Graphs: Variation Minimization

Volume: 63, Issue: 17, Pages: 4609 - 4624
Published: Jun 3, 2015
Abstract
We consider the problem of signal recovery on graphs. Graphs model data with complex structure as signals on a graph. Graph signal recovery recovers one or multiple smooth graph signals from noisy, corrupted, or incomplete measurements. We formulate graph signal recovery as an optimization problem, for which we provide a general solution through the alternating direction methods of multipliers. We show how signal inpainting, matrix completion,...
Paper Details
Title
Signal Recovery on Graphs: Variation Minimization
Published Date
Jun 3, 2015
Volume
63
Issue
17
Pages
4609 - 4624
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